A new class of early diagnostics for neuroinflammatory and neurodegenerative diseases

We move diagnostics upstream from late stage damage detection to functional analysis of early neuroinflammatory mechanisms.

dAIgnostics Method

dAIgnostics has developed a liquid biopsy platform for neuroinflammatory and neurodegenerative diseases

The method is based on a disruptive diagnostic paradigm that directly measures the functional impact of patient-derived serum immunoglobulins G (IgG) – antibodies on healthy cells of neural origin. Instead of detecting downstream biomarkers, it captures early pathophysiological processes triggered by neuroinflammatory IgGs.

Using time-resolved fluorescence microscopy, the platform records three independent and mechanistically/physiologically relevant intracellular responses: calcium signaling, reactive oxygen species, and vesicular trafficking.

These signals reflect early disease mechanisms implicated in ALS and other neuroinflammatory conditions, often appearing before structural degeneration becomes detectable through imaging or conventional biomolecular markers. Artificial Intelligence (AI), particularly through ensemble and Bayesian algorithms, reinforces the multimodal nature of the acquired signals and enables high-probability predictive modeling.

dAIgnostics Method

dAIgnostics Products

dAIgnostics Studio

Challenge

Modern laboratories generate vast amounts of multimodal data. from omics and imaging to structured clinical datasets. These data are often fragmented across multiple systems, making integration, reproducible analysis, governance, and transparent reporting for research and regulatory environments difficult.

Solution

dAIgnostics Studio is a cloud-native platform that unifies the research data lifecycle and enables secure analysis of multimodal datasets. It supports AI/ML workflows, cohort construction, and explainable reporting with full traceability.

Outcome

Multimodal Data Platform

A unified hub for secure integration and analysis of biomedical data.

AI-Driven Research Acceleration

AI workflows and explainable reporting that enable faster, more reliable research.

dAIgnostics apparatus

dAIgnostics Apparatus

Challenge

Traditional in vitro diagnostics (IVD) often rely on fixed, frozen, or chemically treated cells, which can alter biological behavior and limit detection of true physiological biomarker responses. These methods increase variability, complexity, and the need for specialized laboratory environments.

Solution

dAIgnostics Apparatus is a IVD system designed to capture physiological biomarker signatures directly from living cells. Operating in a closed, contamination-controlled environment, it enables reliable diagnostics with viable cells while simplifying laboratory workflows.

Outcome

Living Cell Diagnostics

Capture physiological biomarker signatures directly from viable cells.

Integrated IVD System

A system platform for standardized, contamination-free diagnostics.

Founders

A multidisciplinary team spanning biophysics, neuroscience, and AI.

Prof. Domagoj Frank, PhD

prof. Domagoj Frank, PhD

Chief Executive Officer (CEO)
25+ years of experience leading research and technology innovation. With a PhD in interdisciplinary sciences and a background in electrical engineering, he leads strategy, innovation, and the translation of research into clinical applications at dAIgnostics.

Prof. Pavle Andjus, PhD

Prof. Pavle Andjus, PhD

Chief Science Officer (CSO)
Biophysicist with 30+ years of research in neurobiology and co-founder of the dAIgnostics methodology. Prof. Andjus is a biophysicist with over 30 years of research experience and grants coordination in neurobiology and neuroimmunology. He is a co-founder of the dAIgnostics methodology and leads research focused on ALS diagnostics and experimental validation of diagnostic models.

Prof. Lidija Radenović, PhD

Prof. Lidija Radenović, PhD

Chief Innovation Officer (CIO)
Neuroscientist with 30+ years of experience in neuroinflammation, biomarkers, and neuroprotection research.
She has led numerous scientific projects and currently leads research and development activities at dAIgnostics.

Asst. Prof. Ivan Lorencin, PhD

Asst. Prof. Ivan Lorencin, PhD

Chief Technology Officer (CTO)
AI and computer vision expert specializing in machine learning for medical diagnostics.
Prof. Lorencin specializes in artificial intelligence, computer vision, and machine learning for medical diagnostics. At dAIgnostics, he leads the development of AI solutions for earlier and more precise detection of neurodegenerative diseases.

Core team

Biljana Frank, M.Eng.

Elena Đerić, EMBA

prof. Sandi Baressi Šegota, PhD

prof. Nikola Anđelić, PhD

Damir Bartolin, M.Eng.

Zvonimir Babić, M.Eng.

prof. Tomislav Marković, PhD

Research Partners

Our research partners bring together expertise from academia, advanced microscopy, photonics and innovation centers, supporting the development and validation of our scientific approach.

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